At a Glance
- Tasks: Lead a team of data scientists to develop innovative data science products and solutions.
- Company: Join Assembly, a purpose-driven global agency recognised for its commitment to positive change.
- Benefits: Enjoy a collaborative workplace with opportunities for continuous learning and growth.
- Why this job: Be part of an award-winning team making a meaningful impact in the digital marketing landscape.
- Qualifications: 4+ years in data science or analytics, with strong project management and communication skills.
- Other info: Assembly values diversity and is committed to sustainability and equal opportunities.
The predicted salary is between 43200 - 72000 £ per year.
Join to apply for the Head of Data Science & Measurement role at Assembly Global Get AI-powered advice on this job and more exclusive features. About Us At Assembly, our mission is to find the change that fuels growth. We apply this principle to the work we do with our clients and to how we engage with our people. We’re a modern global agency bringing together media, data, technology and talent to make brands perform. Our business is purpose driven. In March 2022, we were named Ad Age’s first ever Purpose-Led Agency of the Year, recognised for our mission to leave the world better than we found it. This year we became B Corp certified, the result of a two-year journey. We’re proud to have created a culture where diversity of thought, experience, and background are valued, within an environment that fosters continuous learning, adaptability, and a shared passion for meaningful impact. When you join Assembly, you become part of an award-winning global community of digitally led experts, home to 1,500 talented people across 25 offices globally. Together we create unique data, technology and media solutions that enable faster and smarter problem solving within an inspired, collaborative workplace. Assembly is poised for its next chapter of growth. We’re a meritocratic, high-performance business with a progressive outlook and a growth mindset in all that we do. To realise our potential we need some new skills and thinking. The core DNA of Assembly lies in digital performance marketing. New and existing clients are asking us to extend this expertise across all media, connecting traditional channels with digital methods of execution, measurement and automation. We were born the right way to do this – we’re building out from a leading digital and technology capability and adding the rest, rather than trying to reverse engineer a legacy business into a more modern version of itself. At Assembly we ask our people to embody three core values: Show Up : actively contribute to a space of personal and collective growth Make Change : embrace obstacles as opportunities, taking intentional steps to drive positive change Win Well : approach success with integrity, responsibility, and a commitment to collaboration, understanding that the journey is as important as the destination We look forward to meeting you and to discussing how we can grow together. Overview As a Head of Data Science, you will be working on problems that require both creativity and analytic rigour. You will be responsible for helping drive product adoption and partnering closely with cross-functional teams including Consulting, Product, and Media teams. Responsibilities Work with our Head of Consultancy and a team of Data Scientists to develop our data science product set and grow the department globally. Manage a team of data scientists and lead client engagements at a senior level. Identify opportunities for new products and services – particularly capitalising on the evolving landscape around data privacy and measurement. Directly support key global clients, both as an added value service and for commercial consulting opportunities. Own, manage, and contribute to large and challenging client projects. Guide and support regional teams in their own Data Science delivery, ensuring they are presenting consistent and compelling work. Be the standard bearer for data science and measurement by leading educational workshops both internally and for clients. Essential Skills Excellent project management skills, experience working in an Agile environment. Demonstrable experience of solving business challenges using technical acumen and/or mathematical or data science methodologies. Excellent communication skills and strong experience of managing business communications and presentations. Minimum 4 years’ experience using data mining/analytical methods, preferably in marketing, market research and/or financial concentrations. Preferred Skills A practical understanding of how digital marketing works and common challenges facing marketers. Experience working with senior stakeholders at scaled global clients, preferably in a marketing or marketing science context. Experience working with Econometrics or Media Mix Modelling. Essential Technical Skills Exceptional analytical thinker with a passion for using data to solve business problems (3-4 years of experience in product analytics or Data Science). Charismatic storyteller ready to lead growth conversations with senior leadership. A strong understanding and working knowledge of R. Knowledge of SQL and hands-on experience with large relational databases. Use of version control (Git, GitHub) and CI/CD processes. Foundational knowledge and experience working with Python. Preferred Technical Skills Experience with platforms and data typically found in digital marketing including analytics and media serving platforms. An understanding of the MarTech and digital marketing measurement landscape. Knowledge around the latest data privacy and security developments in online advertising. Experience working with cloud computing environments such as AWS or GCP. Personal Skills Friendly, approachable, and able to collaborate with both technical and non-technical colleagues. Curious and proactive – continually looking for new opportunities for the Data team to work with clients and internal teams, with a desire to learn and develop innovative analytical techniques. Highly organised and process driven to keep on top of multiple projects at once. Equal Opportunities Assembly is an advocate for equal opportunity in the workplace. We are committed to ensuring equal opportunities regardless of race, colour, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability and gender identity. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know. Social and Environmental Responsibility At Assembly, we have a responsibility to bring impact into our every day. This means we must always look for ways in which to be conscious citizens in our roles to support society and environmental sustainability. We encourage employees to; be a conscious citizen by actively participating in our organisation\’s sustainability efforts, help us promote environmentally friendly practices within the workplace, collaborate with community organisations and stakeholders to support initiatives aligned with our company\’s values, participate in volunteer activities that benefit the community. Employees are also encouraged to make suggestions and evaluate our business practices to identify areas for improvement in social and environmental performance. Employees at Assembly demonstrate commitment to sustainability and inclusivity in their actions and behaviours. #J-18808-Ljbffr
Head of Data Science & Measurement employer: Assembly Global
Contact Detail:
Assembly Global Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data Science & Measurement
✨Tip Number 1
Familiarise yourself with Assembly's core values: Show Up, Make Change, and Win Well. During your interactions, whether in interviews or networking, demonstrate how you embody these values in your work and personal life.
✨Tip Number 2
Engage with the latest trends in data science and digital marketing. Being knowledgeable about current developments, especially around data privacy and measurement, will help you stand out as a candidate who is proactive and informed.
✨Tip Number 3
Network with professionals in the data science and marketing fields. Attend industry events or webinars where you can connect with people from Assembly or similar companies, showcasing your interest and enthusiasm for the role.
✨Tip Number 4
Prepare to discuss your experience with Agile project management and how you've successfully led teams in the past. Be ready to share specific examples that highlight your leadership skills and ability to drive product adoption.
We think you need these skills to ace Head of Data Science & Measurement
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, project management, and communication skills. Use keywords from the job description to demonstrate that you meet the essential and preferred skills outlined by Assembly.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data science and how it aligns with Assembly's mission. Mention specific projects or experiences that showcase your ability to solve business challenges using data, and explain why you want to be part of their team.
Showcase Your Technical Skills: Include a section in your application that details your technical skills, particularly in R, SQL, and Python. Provide examples of how you've used these skills in previous roles, especially in relation to digital marketing and data analysis.
Demonstrate Cultural Fit: Assembly values diversity, collaboration, and continuous learning. In your application, share examples of how you've contributed to a positive team environment and embraced change in your previous roles. This will help show that you align with their core values.
How to prepare for a job interview at Assembly Global
✨Show Your Analytical Skills
As a Head of Data Science, you'll need to demonstrate your analytical thinking. Prepare examples of how you've used data to solve complex business problems in the past. Be ready to discuss specific methodologies you've employed and the impact they had.
✨Communicate Effectively
Excellent communication skills are essential for this role. Practice explaining complex data concepts in simple terms, as you will need to convey your ideas to both technical and non-technical stakeholders. Consider preparing a short presentation on a relevant topic to showcase your storytelling ability.
✨Understand the Company’s Values
Assembly values personal and collective growth, embracing change, and collaboration. Familiarise yourself with these core values and think about how your experiences align with them. Be prepared to share examples of how you've embodied these principles in your previous roles.
✨Prepare for Technical Questions
Expect to be asked about your technical skills, particularly in R, SQL, and Python. Brush up on your knowledge of data privacy, measurement, and digital marketing landscapes. You might also want to review recent developments in these areas to show that you're up-to-date with industry trends.